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Package Details: caffe-cuda 1.0-8
| Git Clone URL: | https://aur.archlinux.org/caffe-cuda.git (read-only) |
|---|---|
| Package Base: | caffe-cuda |
| Description: | A deep learning framework made with expression, speed, and modularity in mind (with cuda support) |
| Upstream URL: | https://caffe.berkeleyvision.org/ |
| Licenses: | |
| Conflicts: | |
| Provides: | |
| Submitter: | dbermond |
| Maintainer: | dbermond |
| Last Packager: | dbermond |
| Votes: | 0 |
| Popularity: | 0.000000 |
| First Submitted: | 2018-08-22 18:02 |
| Last Updated: | 2019-06-29 18:37 |
Dependencies (37)
- boost-libs
- cuda (cuda65)
- cudnn
- gflags (gflags-git, gflags-static)
- google-glog (glog-git, google-glog-static)
- hdf5 (hdf5-java, hdf5-openmpi-java, hdf5-openmpi)
- lapack (openblas-lapack-git, lapack-tmg, flexiblas, lapack-git, openblas-lapack-static, openblas-lapack-openmp, openblas-lapack, atlas-lapack)
- leveldb
- lmdb
- nccl (nccl-git)
- openblas (openblas-lapack-git, openblas-git, openblas-lapack-static, openblas-lapack-openmp, libopenblas, openblas-lapack)
- opencv (opencv-cuda-git, opencv2, opencv2-samples, opencv-cuda, opencv-with-python2-support, opencv-git)
- protobuf (protobuf3-git, protobuf-bin, protobuf-static)
- python (python-dbg)
- python-numpy (python-numpy-mkl, python-numpy-openblas)
- python-pandas
- boost (make)
- doxygen (doxygen-git) (make)
- ghostscript (make)
- texlive-core (texlive-installer, texlive-full) (make)
- texlive-latexextra (texlive-installer, texlive-full) (make)
- cython (cython-kivy, cython-git) (optional)
- ipython (ipython-7) (optional)
- python-dateutil (optional)
- python-gflags (optional)
- python-h5py (python-h5py-git, python2-h5py-git, python-h5py-openmpi) (optional)
- python-leveldb (optional)
- python-matplotlib (python-matplotlib-git) (optional)
- python-networkx (python-networkx-1.11) (optional)
- python-nose (optional)
- python-pillow (python-pillow-simd) (optional)
- python-protobuf (optional)
- python-pydotplus (optional)
- python-scikit-image (optional)
- python-scipy (python-scipy-openblas, python-scipy-mkl) (optional)
- python-six (optional)
- python-yaml (optional)
Required by (3)
- multitask-network-cascades-dr-git (requires caffe)
- ncsdk (requires caffe)
- openpose (requires caffe)
Latest Comments
ruffy commented on 2019-06-22 13:06
@dbermond okay thanks
dbermond commented on 2019-06-22 12:01
@ruffy The cuda package is showing issues when compiling cuda code after the gcc 8 -> 9 update. A ticket is opened at the bug tracker and this is being worked on by the cuda package maintainer.
gcc8 will be soon on the repos to fix this.
https://bugs.archlinux.org/task/62931
ruffy commented on 2019-06-22 07:09
Anybody knows how to solve this issue?
..........
..........
usr/include/c++/9.1.0/bits/stl_function.h(437): error: identifier "__builtin_is_constant_evaluated" is undefined
1 error detected in the compilation of "/tmp/tmpxft_00006cb5_00000000-18_adam_solver.compute_75.cpp1.ii". make: *** [Makefile:608: .build_release/cuda/src/caffe/solvers/adam_solver.o] Error 1 ==> ERROR: A failure occurred in build(). Aborting...
dbermond commented on 2019-05-19 13:28
@ruffy Nice. Good to hear.
I think that error was due to some recent changes in texlive package. Now everything is fine.
ruffy commented on 2019-05-19 09:19
@dbermond, thx. I was able to install it, after quite some time.
I think that there is also some dependency missing. The error that the LaTeX package 'newunicodechar.sty' is missing occured during building.
I manually installed it on my machine, after that everything was fine.
dbermond commented on 2019-05-18 20:17
@ruffy Probably it's because it was still depending on gcc7. I've updated the package. Try now and it should be faster.
ruffy commented on 2019-05-10 06:44
Is it normal, that the installation process needs more than 1.5 hour?
I never experienced such a long installation for any package in the AUR or official package.
I started yesterday the installation and after 1.5 hour I had to stop the installation, because I had no time to wait longer.
Is there anybody with the same experience?
dbermond commented on 2018-09-29 01:26
@s3v3n I do not use anaconda. Package is building fine.
s3v3n commented on 2018-09-27 19:03
I'm trying to solve an error at the last step. All dependencies are ok.
==> Building and installing package ==> Making package: caffe-cuda 1.0-1 (Thu 27 Sep 2018 03:50:49 PM -03) ==> Checking runtime dependencies... ==> Checking buildtime dependencies... ==> Retrieving sources... -> Found caffe-cuda-1.0.tar.gz -> Found Makefile.config ==> Validating source files with sha256sums... caffe-cuda-1.0.tar.gz ... Passed Makefile.config ... Passed ==> Extracting sources... -> Extracting caffe-cuda-1.0.tar.gz with bsdtar ==> Starting prepare()... Python 3.6.6 :: Anaconda custom (64-bit) ==> ERROR: A failure occurred in prepare(). Aborting... ==> ERROR: Makepkg was unable to build caffe-cuda. ==> Restart building caffe-cuda ? [y/N] ==> ----------------------------------Is there a way to solve or workaround it?